Title |
Color-discrimination threshold determination using pseudoisochromatic test plates
|
---|---|
Published in |
Frontiers in Psychology, November 2014
|
DOI | 10.3389/fpsyg.2014.01376 |
Pubmed ID | |
Authors |
Kaiva Jurasevska, Maris Ozolinsh, Sergejs Fomins, Ausma Gutmane, Brigita Zutere, Anete Pausus, Varis Karitans |
Abstract |
We produced a set of pseudoisochromatic plates for determining individual color-difference thresholds to assess test performance and test properties, and analyzed the results. We report a high test validity and classification ability for the deficiency type and severity level [comparable to that of the fourth edition of the Hardy-Rand-Rittler (HRR) test]. We discuss changes of the acceptable chromatic shifts from the protan and deutan confusion lines along the CIE xy diagram, and the high correlation of individual color-difference thresholds and the red-green discrimination index. Color vision was tested using an Oculus HMC anomaloscope, a Farnsworth D15, and an HRR test on 273 schoolchildren, and 57 other subjects with previously diagnosed red-green color-vision deficiency. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 4% |
Unknown | 22 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 22% |
Researcher | 4 | 17% |
Student > Bachelor | 3 | 13% |
Student > Postgraduate | 3 | 13% |
Professor | 2 | 9% |
Other | 3 | 13% |
Unknown | 3 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 4 | 17% |
Psychology | 3 | 13% |
Engineering | 3 | 13% |
Nursing and Health Professions | 2 | 9% |
Physics and Astronomy | 2 | 9% |
Other | 4 | 17% |
Unknown | 5 | 22% |